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本文主要讨论并解决火焰原予吸收法测定高含量锌时的自吸问题,采用锌的次灵敏线307.6nm直接测定高含量锌,消除了自吸干扰和多次高倍稀释所带来的误差,该方法与EDTA容量法相比快速简便,劳动强度少,节省成本,适合商含量锌样品的快速大批量分析测定,具有显著的经济效益和推广价值。用该法对已知结果的样品进行测定,测定结果与EDTA滴定法及标准样品结果相符。选矿试验样品测定结果也验证了方法的有效性。 相似文献
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显微镜光度计测定煤镜质组反射率的研究 总被引:4,自引:3,他引:4
分析了自动测定与人工测定煤镜质组反射率的特点,给出了与人工测定结果相关的自动测定方法和条件。按回归方程换算后,自动测定怀人工测定结果的偏差小于不同单位人工测定的偏差。 相似文献
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EDTA置换滴定法和返滴定法测定矿石中铝含量 总被引:2,自引:0,他引:2
就铝盐测定的两种方法进行了讨论。并且就置换滴定法测定的现象进行对照实验,从理论上对其结果进行了分析,发现此方法很难测定出准确结果。 相似文献
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常规测定氧化铁黑耐热性的方法是将其制成色浆,通过肉眼观察其经散射光照射后的颜色变化,结果往往不令人满意。采用色差仪测定颜色空间座标值来评价氧化铁黑的耐热性,提高了测定结果的可信度 相似文献
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鉴于标准参比炭黑的DBP吸收值的测定值与标准值存在差异,导致以标准参比炭黑为准测定的炭黑DBP吸收值不准确,根据标准参比炭黑的DBP吸收值标准值和测定值建立一元线性回归方程,对炭黑样品的DBP吸收值测定结果进行校正,此方法数据处理速度快、操作简便,校正后提高了炭黑DBP吸收值测定结果的准确性。 相似文献
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用x射线广角衍射原子分布函数方法测试了不同煤化程度煤的真密度,并与按常规方法(国家标准)测定的结果进行了对比。结果发现,两种测定结果随煤化程度的变化关系相一致,都呈一凹面向上的曲线。x射线方法测定结果较国家标准测定方法所测结果略高,这是由于煤中存在封闭孔所致。 相似文献
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针对传统开氏定氮法测定煤中氮含量消化时间过长,导致测定结果偏低有时甚至测不出结果的缺陷,进行了反复地分析、研究,并对其进行了改进。结果表明,经过改进后的煤中氮含量的测定方法能准确测定年老无烟煤的氮含量,其准确度和精密度能满足国家标准的要求,具有精度高、误差小、分析成本低、操作简便、对环境污染小等特点。 相似文献
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Minimization of the Theoretical Error of Input Parameters for a Vapor Permeation Apparatus 下载免费PDF全文
Pavel Dytrych Zuzana Vajglová Lenka Morávková Věra Jandová Pavel Izák Zuzana Petrusová 《化学工程与技术》2018,41(9):1727-1736
All input experimental errors for membrane flux determination were analyzed. The overall error in pressure did not largely influence the determination of membrane flux. The main contribution to errors was ascribed to flow meters and membrane thickness. The choice of an optimal operational range for input parameters led to elimination of at least 2/3 of the theoretical relative error for subsequent evaluation of the permeability of individual species. This is especially valuable for low‐permeable membranes, whereas a very low relative theoretical error can be obtained in the case of highly permeable materials. 相似文献
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采用近红外光谱(NIR)技术结合支持向量回归法(SVR)建立了烯草酮乳油的定量分析方法。通过添加烯草酮原药、烯草酮助剂到二甲苯溶剂来配制不同浓度的校正集,采用SVR法建立了烯草酮的定量分析模型,模型的决定系数(R2)、校正集均方根误差(RMSEC)、检验集均方根误差(RMSEV)、预测集均方根误差(RMSEP)分别为1.0000、0.0260、0.0569和0.0550。结果表明,近红外光谱技术结合支持向量回归法可以准确地定量分析乳油中烯草酮的含量,方法简单、快捷,在农药质量检测中具有实际应用价值。 相似文献
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文章对乙酰丙酮法测定玩具中甲醛的两种前处理方式进行了比较。结果表明用超声提取法进行样品前处理比较快捷,高效。但部分样品表面可溶性带色附着物可能在提取过程中脱落并对甲醛的测定构成干扰。而采用直接蒸馏法提取玩具中甲醛可以有效避免这种误差,对玩具中甲醛的测定起到必要的补充作用。 相似文献
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Esko I. Kauppinen 《Aerosol science and technology》2013,47(3):171-197
The aspects associated with the determination of continuous submicrometer aerosol-size distributions using multijet low pressure impactors have been studied. Multiple sets of error-free and noisy, simulated data sets have been inverted, and impactors have been compared with the differential mobility particle-size analysis (DMA) method by using well-defined, laboratory-generated liquid oleic acid aerosols tagged with ammonium fluorescein. Impactors included in this study were a Berner-type impactor HAUKE 25/0.015 (BLPI), a modified University of Washington Mark 5 impactor (KLPI), and the impactor designed at the University of Florida (LLPI). The inversion of simulated error-free impactor data (i.e., the data with perfect kernel functions) for unimodal submicrometer aerosols with a small (2.5%) stage mass error estimate yields results very close to input distributions, when the method based on constrained regularization is used in the inversion. When the error estimate is increased, inverted spectra are flattened. However, they remain clearly unimodal. When normally distributed random error is added to the data and the error estimate for each data point equals the standard deviation of the random error, the fraction of bimodal and trimodal inverted spectra increases with a rise in the random error level and with the asymmetricity of the kernel functions. When the random error level and data error estimates are equal to or smaller than 10%, inverted spectra are mainly unimodal close to input distribution for both error-free and noisy data. The inversion of impactor data from the detailed laboratory experiments (i.e., the data with real kernel functions) indicates that only BLPI kernel functions are accurate enough to yield unimodal distributions close to those measured with the DMA. When the stage mass error estimate is increased beyond the stage mass determination error, unimodal spectra also for the KLPI and LLPI are found. The decrease of the BLPI stage mass error estimate below the experimental error increases the agreement with DMA results. In most cases the error estimate for BLPI stage masses can be decreased to 2.5%, indicating the validity of both BLPI submicrometer kernel functions and the fluorometric method used to determine stage mass concentrations.The aspects associated with the determination of continuous submicrometer aerosol-size distributions using multijet low pressure impactors have been studied. Multiple sets of error-free and noisy, simulated data sets have been inverted, and impactors have been compared with the differential mobility particle-size analysis (DMA) method by using well-defined, laboratory-generated liquid oleic acid aerosols tagged with ammonium fluorescein. Impactors included in this study were a Berner-type impactor HAUKE 25/0.015 (BLPI), a modified University of Washington Mark 5 impactor (KLPI), and the impactor designed at the University of Florida (LLPI). The inversion of simulated error-free impactor data (i.e., the data with perfect kernel functions) for unimodal submicrometer aerosols with a small (2.5%) stage mass error estimate yields results very close to input distributions, when the method based on constrained regularization is used in the inversion. When the error estimate is increased, inverted spectra are flattened. However, they remain clearly unimodal. When normally distributed random error is added to the data and the error estimate for each data point equals the standard deviation of the random error, the fraction of bimodal and trimodal inverted spectra increases with a rise in the random error level and with the asymmetricity of the kernel functions. When the random error level and data error estimates are equal to or smaller than 10%, inverted spectra are mainly unimodal close to input distribution for both error-free and noisy data. The inversion of impactor data from the detailed laboratory experiments (i.e., the data with real kernel functions) indicates that only BLPI kernel functions are accurate enough to yield unimodal distributions close to those measured with the DMA. When the stage mass error estimate is increased beyond the stage mass determination error, unimodal spectra also for the KLPI and LLPI are found. The decrease of the BLPI stage mass error estimate below the experimental error increases the agreement with DMA results. In most cases the error estimate for BLPI stage masses can be decreased to 2.5%, indicating the validity of both BLPI submicrometer kernel functions and the fluorometric method used to determine stage mass concentrations.The aspects associated with the determination of continuous submicrometer aerosol-size distributions using multijet low pressure impactors have been studied. Multiple sets of error-free and noisy, simulated data sets have been inverted, and impactors have been compared with the differential mobility particle-size analysis (DMA) method by using well-defined, laboratory-generated liquid oleic acid aerosols tagged with ammonium fluorescein. Impactors included in this study were a Berner-type impactor HAUKE 25/0.015 (BLPI), a modified University of Washington Mark 5 impactor (KLPI), and the impactor designed at the University of Florida (LLPI). The inversion of simulated error-free impactor data (i.e., the data with perfect kernel functions) for unimodal submicrometer aerosols with a small (2.5%) stage mass error estimate yields results very close to input distributions, when the method based on constrained regularization is used in the inversion. When the error estimate is increased, inverted spectra are flattened. However, they remain clearly unimodal. When normally distributed random error is added to the data and the error estimate for each data point equals the standard deviation of the random error, the fraction of bimodal and trimodal inverted spectra increases with a rise in the random error level and with the asymmetricity of the kernel functions. When the random error level and data error estimates are equal to or smaller than 10%, inverted spectra are mainly unimodal close to input distribution for both error-free and noisy data. The inversion of impactor data from the detailed laboratory experiments (i.e., the data with real kernel functions) indicates that only BLPI kernel functions are accurate enough to yield unimodal distributions close to those measured with the DMA. When the stage mass error estimate is increased beyond the stage mass determination error, unimodal spectra also for the KLPI and LLPI are found. The decrease of the BLPI stage mass error estimate below the experimental error increases the agreement with DMA results. In most cases the error estimate for BLPI stage masses can be decreased to 2.5%, indicating the validity of both BLPI submicrometer kernel functions and the fluorometric method used to determine stage mass concentrations.The aspects associated with the determination of continuous submicrometer aerosol-size distributions using multijet low pressure impactors have been studied. Multiple sets of error-free and noisy, simulated data sets have been inverted, and impactors have been compared with the differential mobility particle-size analysis (DMA) method by using well-defined, laboratory-generated liquid oleic acid aerosols tagged with ammonium fluorescein. Impactors included in this study were a Berner-type impactor HAUKE 25/0.015 (BLPI), a modified University of Washington Mark 5 impactor (KLPI), and the impactor designed at the University of Florida (LLPI). The inversion of simulated error-free impactor data (i.e., the data with perfect kernel functions) for unimodal submicrometer aerosols with a small (2.5%) stage mass error estimate yields results very close to input distributions, when the method based on constrained regularization is used in the inversion. When the error estimate is increased, inverted spectra are flattened. However, they remain clearly unimodal. When normally distributed random error is added to the data and the error estimate for each data point equals the standard deviation of the random error, the fraction of bimodal and trimodal inverted spectra increases with a rise in the random error level and with the asymmetricity of the kernel functions. When the random error level and data error estimates are equal to or smaller than 10%, inverted spectra are mainly unimodal close to input distribution for both error-free and noisy data. The inversion of impactor data from the detailed laboratory experiments (i.e., the data with real kernel functions) indicates that only BLPI kernel functions are accurate enough to yield unimodal distributions close to those measured with the DMA. When the stage mass error estimate is increased beyond the stage mass determination error, unimodal spectra also for the KLPI and LLPI are found. The decrease of the BLPI stage mass error estimate below the experimental error increases the agreement with DMA results. In most cases the error estimate for BLPI stage masses can be decreased to 2.5%, indicating the validity of both BLPI submicrometer kernel functions and the fluorometric method used to determine stage mass concentrations. 相似文献
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[目的]采用近红外光谱(NIR)技术结合支持向量回归法(SVR)建立乳油中非法对硫磷的定量分析方法.[方法]通过向1.8%阿维菌素乳油中加入对硫磷原药和二甲苯溶剂来配制不同质量分数的校正集,采用SVR法建立非法对硫磷的定量分析模型.[结果]模型的决定系数(R2)、校正集均方根误差(RMSEC)、检验集均方根误差(RMSEV)、预测集均方根误差(RMSEP)分别为0.9994、0.4377、0.5065、0.7482.[结论]该法可以定量测定乳油中非法对硫磷的含量. 相似文献
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Aruna Bahadur Krishna Das Maji Rajendra Kumar 《Journal of chemical technology and biotechnology (Oxford, Oxfordshire : 1986)》1975,25(7):515-522
This investigation reports the results of a study undertaken to assess the suitability of using the GM counter for measuring the intensity of β-backscattered radiation to determine the chemical composition of binary solid alloys, and aqueous salt solutions containing a metallic radical. The results indicate that the technique is not suitable for the determination of the composition of binary alloys since the error is in the range of 1.2–2.3 wt-% metal. The technique can be conveniently adapted for aqueous salt solutions where the maximum error is approximately 0.2 wt-% metal for metallic elements with atomic number greater than 20. 相似文献